Pioneering Advancements at DASC 2024
At the recent Digital Avionics Systems Conference (DASC) 2024, Parallax Advanced Research demonstrated a significant leap forward in neuromorphic computing for space, earning recognition for their transformative contributions. As a mission-driven nonprofit, Parallax partners with government, academia, and industry to address pressing technological challenges, catalyzing solutions that enhance national capabilities. This year, their neuromorphic computing project drew attention for its potential to reshape space exploration and autonomous systems, underscoring Parallax’s commitment to pioneering advancements that support critical strategic goals.
Photo Caption: Dr. Steve Harbour AI HW Director & Mr. Stephen Schlager AI HW Developer
Innovative Research in Neuromorphic Computing
Parallax’s neuromorphic computing project, represented by Dr. Steve Harbour at DASC, introduced a new approach to space autonomy. This work is the result of a collaborative effort involving Parallax, the Ohio Space Grant Consortium (OSGC), the University of Dayton (UD), the University of Cincinnati (UC), Sinclair College, and Brno University of Defense in Czechia. Together, these partners are exploring neuromorphic systems inspired by the human brain’s structure, which are capable of low-power, real-time processing—an important feature for operations in remote, resource-constrained environments.
Photo Caption: Mr. Stephen Schlager AI HW Developer, Parallax & Mr. David Harbour OSGC NASA Intern and ECE Student, University of Dayton
Showcasing “Martian Flight”
A focal point of Parallax’s presentation was “Martian Flight: Enabling Motion Estimation of NASA’s Next-Generation Mars Flying Drone.” This initiative, in collaboration with NASA and Ohio-based universities, demonstrates the feasibility of neuromorphic systems in extreme environments and illustrates Parallax’s commitment to advancing neuromorphic computing for practical applications. By utilizing a neuromorphic event camera that offers advantages in speed, energy efficiency, and visual processing, paired with spiking neural networks (SNNs), Parallax’s project enables autonomous navigation for NASA’s Mars helicopter and allowing the Mars helicopter to make complex decisions autonomously. This technology optimizes energy use and data processing efficiency, which is essential for sustaining operations on Mars, where resources are limited. Additionally, for future missions, these capabilities reduce the need for Earth-based monitoring and present an innovative solution to longstanding limitations in space technology.
Photo Caption: Depiction of “Martian Flight”
Guided by Expertise in Academia
Key contributors to this project include Dr. Kelly Cohen from the University of Cincinnati, who brings extensive expertise in autonomous systems, and Ms. Hallie Pennel from Sinclair College, whose involvement enriches the research with fresh perspectives from emerging talent in the field. Their contributions, alongside a diverse team of students and researchers, exemplify the kind of high-impact collaboration that drives innovation at Parallax and across its partner institutions.
Pathways for Enhanced Resilience in Space Missions
Parallax’s research employs widely recognized datasets, such as MNIST–short for Modified National Institute of Standards and Technology database and is a large collection of handwritten digits–and NMNIST–short for Neuromorphic-MNIST (N-MNIST) dataset, which is a spiking version of the original frame-based MNIST dataset–to refine SNN capabilities in motion estimation, a key component of autonomous navigation. The insights gained from these experiments advance the design of low-power, high-performance systems, setting the stage for future deployments in space. This approach positions Parallax and its collaborators as leaders in the development of sustainable, self-sufficient solutions that address the unique requirements of deep-space missions and other challenging environments.
Photo Caption: Poster explaining the award-winning research in neuromorphic computing
Traditional computing approaches struggle with the demands of space exploration, where autonomous, adaptable, and energy-efficient systems are key. Neuromorphic computing’s brain-inspired design directly addresses these challenges. Through successful testing with datasets like N-MNIST, Parallax and its academic partners are demonstrating a model for efficient, resilient technology—critical qualities for systems tasked with independent operation under unpredictable conditions.
Photo Caption: Dr. Steve Harbour and Mr. Stephen Schlager representing Parallax Advanced Research at the booth
Applications for Space and Aerospace Sectors
Parallax’s work in neuromorphic computing is designed to align with the goals of leading space and aerospace stakeholders. Partnerships with institutions like the University of Dayton’s Sensors Lab, the University of Cincinnati’s Digital Futures Lab, and Sinclair College have allowed Parallax to develop prototype systems suited for real-world applications. International collaboration with Brno University of Defense in Czechia adds a global dimension, reflecting the broad applicability of this technology. These partnerships not only strengthen the technology itself but also create a foundation for further innovations that support a national strategy of technological independence in space.
Industry Recognition and Milestone Achievements
At DASC 2024, Parallax’s project was honored as a Top Finalist in the Student “Lead Author” paper category, led by David AR Harbour from the University of Dayton. This award acknowledges the significant potential of Parallax’s neuromorphic computing solutions, particularly in overcoming the challenge of self-velocity estimation in Martian environments where GPS is unavailable. Such achievements reinforce Parallax’s position as a trusted partner in advancing high-impact research that supports the nation’s aerospace and defense objectives.
Photo Caption: Dr. Steve Harbour Accepting the Award at the DASC 2024
Strategic Vision for the Future
Building on this recent success, Parallax plans to expand its research in neuromorphic computing, pushing the boundaries of what is possible for autonomous systems in extreme settings. Ongoing collaborations with key academic and industry partners, including University of Cincinnati’s Dr. Kelly Cohen and Sinclair College’s Ms. Hallie Pennel, are focused on developing resilient microprocessors for next-generation space applications. With plans for simulated environmental testing and eventual space deployment, Parallax remains at the forefront of neuromorphic innovation, poised to deliver lasting benefits for the nation's aerospace and defense sector.
Photo Caption: Dr. Steve Harbour’s Biography
Envisioning a Future for Neuromorphic Computing in Space
As a driving force in neuromorphic computing, Parallax Advanced Research is committed to shaping the future of autonomous systems in space and beyond. Through their innovative approach, Parallax is opening new avenues for brain-inspired computing to play a central role in space exploration, presenting a compelling case for continued investment and strategic collaboration in this transformative field.
###
About Parallax Advanced Research and the Ohio Aerospace Institute
Parallax Advanced Research is a 501(c)(3) private nonprofit research institute that tackles global challenges through strategic partnerships with government, industry, and academia. It accelerates innovation, addresses critical global issues, and develops groundbreaking ideas with its partners. With offices in Ohio and Virginia, Parallax aims to deliver new solutions and speed them to market. In 2023, Parallax and the Ohio Aerospace Institute formed a collaborative affiliation to drive innovation and technological advancements in Ohio and for the nation. The Ohio Aerospace Institute plays a pivotal role in advancing the aerospace industry in Ohio and the nation by fostering collaborations between universities, aerospace industries, and government organizations, and managing aerospace research, education, and workforce development projects.